Hedda U. Ferris
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Genetics top 5%
- Bacterial Genetics and Biotechnology
Papers in
-
- Protein Structure and Dynamics 3
- Lipid Membrane Structure and Behavior 1
- RNA and protein synthesis mechanisms 1
- Protist diversity and phylogeny 1
- Protein Kinase Regulation and GTPase Signaling 1
- Photosynthetic Processes and Mechanisms 1
- Genetics 6
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Tohru Minamino (3 shared papers)May Kihara (3 shared papers)Robert M. Macnab (2 shared papers)Andrei N. Lupas (4 shared papers)M.P. Coles (3 shared papers)Keiichi Namba (2 shared papers)Michael Hulko (3 shared papers)Stanisław Dunin-Horkawicz (3 shared papers)
- Journals
- Structure (2 papers)Journal of Structural Biology (2 papers)Molecular Microbiology (1 paper)Journal of Biological Chemistry (1 paper)Trends in Microbiology (1 paper)
- Partner nations
- GermanyJapanUnited States
In The Last Decade
Hedda U. Ferris
8 papers receiving 630 citations
Peers
Comparison fields: 5 of 51
- Endocrinology 149
- Genetics 426
- Molecular Medicine 31
- Ecology 158
- Molecular Biology 403
Countries citing papers authored by Hedda U. Ferris
This map shows the geographic impact of Hedda U. Ferris's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hedda U. Ferris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hedda U. Ferris more than expected).
Fields of papers citing papers by Hedda U. Ferris
This network shows the impact of papers produced by Hedda U. Ferris. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hedda U. Ferris. The network helps show where Hedda U. Ferris may publish in the future.
Co-authors
The 18 scholars most cited alongside Hedda U. Ferris, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 137 | |
| 2 | 2005 | 118 | |
| 3 | 2011 | 81 | |
| 4 | 2012 | 80 | |
| 5 | 2006 | 74 | |
| 6 | 2006 | 54 | |
| 7 | 2014 | 45 | |
| 8 | 2014 | 44 |
About Hedda U. Ferris
Hedda U. Ferris is a scholar working on Molecular Biology, Genetics, Ecology, Cellular and Molecular Neuroscience and Toxicology, having authored 8 papers that have together received 633 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Protein Structure and Dynamics (3 papers), Bacteriophages and microbial interactions (2 papers), Lipid Membrane Structure and Behavior (1 paper), RNA and protein synthesis mechanisms (1 paper), Protist diversity and phylogeny (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Photosynthetic Processes and Mechanisms (1 paper). The work is most often cited by research in Endocrinology (149 citations), Genetics (426 citations), Molecular Medicine (31 citations), Ecology (158 citations) and Molecular Biology (403 citations). Hedda U. Ferris has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Tohru Minamino, May Kihara, Robert M. Macnab, Andrei N. Lupas, M.P. Coles, Keiichi Namba, Michael Hulko, Stanisław Dunin-Horkawicz, Kornelius Zeth and Lara Devgan. Their work appears in journals such as Structure, Journal of Structural Biology, Molecular Microbiology, Journal of Biological Chemistry and Trends in Microbiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.